
from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Union[str, Any])   ->       Dict:






							'''simple docstring'''





							return {key.lstrip("-"): value for key, value in zip(unknown_args[::2]		,    unknown_args[1::2])}




def       _SCREAMING_SNAKE_CASE   (						)   ->       List[Any]:






							'''simple docstring'''





							__UpperCamelCase      :  int       =   ArgumentParser(
							    "HuggingFace Datasets CLI tool"		,    usage="datasets-cli <command> [<args>]"		,    allow_abbrev=_lowerCamelCase)
							__UpperCamelCase      :  Any       =   parser.add_subparsers(help="datasets-cli command helpers")
							set_verbosity_info()

							# Register commands
							ConvertCommand.register_subcommand(_lowerCamelCase)
							EnvironmentCommand.register_subcommand(_lowerCamelCase)
							TestCommand.register_subcommand(_lowerCamelCase)
							RunBeamCommand.register_subcommand(_lowerCamelCase)
							DummyDataCommand.register_subcommand(_lowerCamelCase)

							# Parse args
							__UpperCamelCase  ,		__UpperCamelCase      :  str       =   parser.parse_known_args()
							if not hasattr(_lowerCamelCase		,    "func"):
														parser.print_help()
														exit(1)
							__UpperCamelCase      :  Any       =   parse_unknown_args(_lowerCamelCase)

							# Run
							__UpperCamelCase      :  Union[str, Any]       =   args.func(_lowerCamelCase		,    **_lowerCamelCase)
							service.run()


if __name__ == "__main__":
		main()

from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip